Exelon (EXC) Total Non-Current Liabilities (2009 - 2026)
Exelon (EXC) reported Total Non-Current Liabilities of $59.71 billion for Q2 2026, up 8.4% from $55.07 billion a year earlier and up 3.2% from the prior quarter.
Exelon (EXC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Exelon posted Total Non-Current Liabilities of $58.13 billion, up 9.8% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 77.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $52.95 billion in FY2024 (+5.9%), $49.98 billion in FY2023 (+8.0%), $46.27 billion in FY2022 (-2.1%) and $47.25 billion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 14 quarters, with growth averaging 7.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2025 (growth of 9.8%); the low point was Q3 2021 (a decline of 69.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $57.84 billion (Q1 2026), $58.13 billion (Q4 2025) and $56.5 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 172.18 Bn | 170.30 Bn | - | 135.57 Bn |
| 2 | Southern | 106.86 Bn | 97.91 Bn | 5.92 Bn | 82.64 Bn |
| 3 | Duke Energy | 97.23 Bn | 95.83 Bn | 6.74 Bn | 139.75 Bn |
| 4 | National Grid | 85.13 Bn | 57.46 Bn | - | 77.92 Bn |
| 5 | American Electric Power | 70.60 Bn | 68.98 Bn | 3.84 Bn | 74.06 Bn |
| 6 | Dominion Energy | 57.38 Bn | 60.06 Bn | - | 48.44 Bn |
| 7 | Sempra | 54.97 Bn | 54.10 Bn | 2.89 Bn | 72.44 Bn |
| 8 | Entergy | 50.09 Bn | 39.27 Bn | - | 51.46 Bn |
| 9 | Xcel Energy | 48.73 Bn | 43.64 Bn | - | 44.56 Bn |
| 10 | Exelon | 45.85 Bn | 41.17 Bn | - | 57.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.12 Bn |
| Mar 31, 2026 | 55.26 Bn |
| Dec 31, 2025 | 55.97 Bn |
| Sep 30, 2025 | 54.40 Bn |
| Jun 30, 2025 | 52.89 Bn |
| Mar 31, 2025 | 51.57 Bn |
| Dec 31, 2024 | 50.67 Bn |
| Sep 30, 2024 | 49.19 Bn |
| Jun 30, 2024 | 49.51 Bn |
| Mar 31, 2024 | 48.41 Bn |
| Dec 31, 2023 | 47.90 Bn |
| Sep 30, 2023 | 46.38 Bn |
| Jun 30, 2023 | 45.46 Bn |
| Mar 31, 2023 | 45.27 Bn |
| Dec 31, 2022 | 44.31 Bn |
| Sep 30, 2022 | 42.33 Bn |
| Jun 30, 2022 | 42.05 Bn |
| Mar 31, 2022 | 41.70 Bn |
| Dec 31, 2021 | 45.48 Bn |
| Sep 30, 2021 | 984.00 Mn |
Exelon Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=EXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "EXC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=EXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();